Physics of Biological Systems

Related lectures (30)

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Discusses faults in intelligent maintenance, Denoising Sparse Wavelet Network, Koopman operator theory, and Graph Neural Networks.

Explores the use of optics in machine learning, focusing on large-scale random matrix multiplication through multiple scattering of light.

Explores the statistical mechanics of learning, focusing on neural networks' mysteries and computational challenges.

Explores Neural Integral Equations for modeling real-world systems using non-local functional equations and deep neural networks.

Covers chaotic behavior in complex systems, with applications in various fields and a historical overview of major developments in chaos theory.

Covers mathematical modeling in chemistry and biology, including chemical reactions, enzymatic kinetics, and population dynamics.

Explores large scale stability in dynamical systems and interconnected behavior.

Explores the therapeutic potential of cold atmospheric plasmas in various medical applications.

Offers insights into the statistical physics of learning, exploring the relationship between neural network structure and disordered systems.